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Diagnostic performance of automated plasma amyloid-β assays combined with pre-analytical immunoprecipitation

BACKGROUND: Measurements of the amyloid-β (Aβ) 42/40 ratio in blood plasma may support the early diagnosis of Alzheimer’s disease and aid in the selection of suitable participants in clinical trials. Here, we compared the diagnostic performance of fully automated prototype plasma Aβ42/40 assays with...

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Autores principales: Klafki, Hans-W., Vogelgsang, Jonathan, Manuilova, Ekaterina, Bauer, Chris, Jethwa, Alexander, Esselmann, Hermann, Jahn-Brodmann, Anke, Osterloh, Dirk, Lachmann, Ingolf, Breitling, Benedict, Rauter, Carolin, Hansen, Niels, Bouter, Caroline, Palme, Stefan, Schuchhardt, Johannes, Wiltfang, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450259/
https://www.ncbi.nlm.nih.gov/pubmed/36071505
http://dx.doi.org/10.1186/s13195-022-01071-y
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author Klafki, Hans-W.
Vogelgsang, Jonathan
Manuilova, Ekaterina
Bauer, Chris
Jethwa, Alexander
Esselmann, Hermann
Jahn-Brodmann, Anke
Osterloh, Dirk
Lachmann, Ingolf
Breitling, Benedict
Rauter, Carolin
Hansen, Niels
Bouter, Caroline
Palme, Stefan
Schuchhardt, Johannes
Wiltfang, Jens
author_facet Klafki, Hans-W.
Vogelgsang, Jonathan
Manuilova, Ekaterina
Bauer, Chris
Jethwa, Alexander
Esselmann, Hermann
Jahn-Brodmann, Anke
Osterloh, Dirk
Lachmann, Ingolf
Breitling, Benedict
Rauter, Carolin
Hansen, Niels
Bouter, Caroline
Palme, Stefan
Schuchhardt, Johannes
Wiltfang, Jens
author_sort Klafki, Hans-W.
collection PubMed
description BACKGROUND: Measurements of the amyloid-β (Aβ) 42/40 ratio in blood plasma may support the early diagnosis of Alzheimer’s disease and aid in the selection of suitable participants in clinical trials. Here, we compared the diagnostic performance of fully automated prototype plasma Aβ42/40 assays with and without pre-analytical sample workup by immunoprecipitation. METHODS: A pre-selected clinical sample comprising 42 subjects with normal and 38 subjects with low cerebrospinal fluid (CSF) Aβ42/40 ratios was studied. The plasma Aβ42/40 ratios were determined with fully automated prototype Elecsys® immunoassays (Roche Diagnostics GmbH, Penzberg, Germany) by direct measurements in EDTA plasma or after pre-analytical Aβ immunoprecipitation. The diagnostic performance for the detection of abnormal CSF Aβ42/40 was analyzed by receiver operating characteristic (ROC) analysis. In an additional post hoc analysis, a biomarker-supported clinical diagnosis was used as a second endpoint. RESULTS: Pre-analytical immunoprecipitation resulted in a significant increase in the area under the ROC curve (AUC) from 0.73 to 0.88 (p = 0.01547) for identifying subjects with abnormal CSF Aβ42/40. A similar improvement in the diagnostic performance by pre-analytical immunoprecipitation was also observed when a biomarker-supported clinical diagnosis was used as a second endpoint (AUC increase from 0.77 to 0.92, p = 0.01576). CONCLUSIONS: Our preliminary observations indicate that pre-analytical Aβ immunoprecipitation can improve the diagnostic performance of plasma Aβ assays for detecting brain amyloid pathology. The findings may aid in the further development of blood-based immunoassays for Alzheimer’s disease ultimately suitable for screening and routine use. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-022-01071-y.
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spelling pubmed-94502592022-09-08 Diagnostic performance of automated plasma amyloid-β assays combined with pre-analytical immunoprecipitation Klafki, Hans-W. Vogelgsang, Jonathan Manuilova, Ekaterina Bauer, Chris Jethwa, Alexander Esselmann, Hermann Jahn-Brodmann, Anke Osterloh, Dirk Lachmann, Ingolf Breitling, Benedict Rauter, Carolin Hansen, Niels Bouter, Caroline Palme, Stefan Schuchhardt, Johannes Wiltfang, Jens Alzheimers Res Ther Research BACKGROUND: Measurements of the amyloid-β (Aβ) 42/40 ratio in blood plasma may support the early diagnosis of Alzheimer’s disease and aid in the selection of suitable participants in clinical trials. Here, we compared the diagnostic performance of fully automated prototype plasma Aβ42/40 assays with and without pre-analytical sample workup by immunoprecipitation. METHODS: A pre-selected clinical sample comprising 42 subjects with normal and 38 subjects with low cerebrospinal fluid (CSF) Aβ42/40 ratios was studied. The plasma Aβ42/40 ratios were determined with fully automated prototype Elecsys® immunoassays (Roche Diagnostics GmbH, Penzberg, Germany) by direct measurements in EDTA plasma or after pre-analytical Aβ immunoprecipitation. The diagnostic performance for the detection of abnormal CSF Aβ42/40 was analyzed by receiver operating characteristic (ROC) analysis. In an additional post hoc analysis, a biomarker-supported clinical diagnosis was used as a second endpoint. RESULTS: Pre-analytical immunoprecipitation resulted in a significant increase in the area under the ROC curve (AUC) from 0.73 to 0.88 (p = 0.01547) for identifying subjects with abnormal CSF Aβ42/40. A similar improvement in the diagnostic performance by pre-analytical immunoprecipitation was also observed when a biomarker-supported clinical diagnosis was used as a second endpoint (AUC increase from 0.77 to 0.92, p = 0.01576). CONCLUSIONS: Our preliminary observations indicate that pre-analytical Aβ immunoprecipitation can improve the diagnostic performance of plasma Aβ assays for detecting brain amyloid pathology. The findings may aid in the further development of blood-based immunoassays for Alzheimer’s disease ultimately suitable for screening and routine use. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-022-01071-y. BioMed Central 2022-09-07 /pmc/articles/PMC9450259/ /pubmed/36071505 http://dx.doi.org/10.1186/s13195-022-01071-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Klafki, Hans-W.
Vogelgsang, Jonathan
Manuilova, Ekaterina
Bauer, Chris
Jethwa, Alexander
Esselmann, Hermann
Jahn-Brodmann, Anke
Osterloh, Dirk
Lachmann, Ingolf
Breitling, Benedict
Rauter, Carolin
Hansen, Niels
Bouter, Caroline
Palme, Stefan
Schuchhardt, Johannes
Wiltfang, Jens
Diagnostic performance of automated plasma amyloid-β assays combined with pre-analytical immunoprecipitation
title Diagnostic performance of automated plasma amyloid-β assays combined with pre-analytical immunoprecipitation
title_full Diagnostic performance of automated plasma amyloid-β assays combined with pre-analytical immunoprecipitation
title_fullStr Diagnostic performance of automated plasma amyloid-β assays combined with pre-analytical immunoprecipitation
title_full_unstemmed Diagnostic performance of automated plasma amyloid-β assays combined with pre-analytical immunoprecipitation
title_short Diagnostic performance of automated plasma amyloid-β assays combined with pre-analytical immunoprecipitation
title_sort diagnostic performance of automated plasma amyloid-β assays combined with pre-analytical immunoprecipitation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450259/
https://www.ncbi.nlm.nih.gov/pubmed/36071505
http://dx.doi.org/10.1186/s13195-022-01071-y
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